ClickHouse users list

Email list of companies using ClickHouse

Q: How many companies use ClickHouse?

Data InfoMetrix tracks 2,001 companies using ClickHouse, with 9,097 verified contacts at those accounts as of October 2026. The largest groups are Cybersecurity & SIEM Telemetry, FinTech & High-Frequency Trading and AdTech & Real-Time Bidding. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Q: Who buys and manages ClickHouse inside a company?

ClickHouse is usually owned by Data Platform Engineering, SRE & Observability Infrastructure Leadership. Decision-makers include Head of Data Platform, VP Engineering and CTO; Principal Database Architect and Staff SRE shape the choice, and Data Platform Engineers and SREs use it day to day. Our ClickHouse list can include any of these roles.

Q: Which ClickHouse products or editions can I target?

You can target accounts by the ClickHouse products they run, including ClickHouse Cloud (Fully Managed Serverless Architecture), ClickHouse Open-Source Enterprise Clusters, ClickHouse Keeper & Multi-Node Replication, Kafka & Vector Engine Connectors and Real-Time Telemetry & Log Ingestion Clusters. Tell us which edition or module matters and we filter the list to those accounts.

Q: What does ClickHouse integrate with?

ClickHouse is most often connected to Apache Kafka, Redpanda, Grafana, Kubernetes and dbt, so users of those tools overlap heavily with ClickHouse accounts. We can filter any list by this kind of stack overlap.

Q: What are the main alternatives to ClickHouse?

The main alternatives to ClickHouse are Snowflake, Amazon Redshift, Elasticsearch and StarRocks. We also keep verified user lists for Snowflake, Elasticsearch and StarRocks, which is useful for competitive displacement campaigns.

Q: What challenges do ClickHouse customers face?

Common challenges for ClickHouse accounts include ZooKeeper Coordination Deadlocks & Keeper Migrations, Too Many Small Parts Mutation & MergeTree Throttling and Materialized View Complexity & Schema Evolution Friction. Legacy self-hosted ClickHouse clusters relying on external ZooKeeper frequently suffer from metadata sync bottlenecks during heavy ingestion, forcing engineering teams to undertake complex migrations to ClickHouse Keeper. These are good angles for outreach to ClickHouse users.

Q: Can Data InfoMetrix deliver a free sample ClickHouse contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target ClickHouse criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

Q: How does Data InfoMetrix guarantee email deliverability for ClickHouse contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all ClickHouse datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Connect with verified Heads of Data Platform, VP Engineering, and Real-Time Analytics Architects operating ClickHouse. You can filter by query throughput, cluster node count, cloud vs open-source self-hosted, and verified direct dials with 99% deliverability.

2,001+Companies

9,097+Contacts

Updated Oct 7, 2026GDPR · CCPA99% accuracy

See sample data

Free ClickHouse count + 10 sample records

2,001+ companies · 9,097+ contacts available

✓Exact count for your titles, regions and company size
✓10 verified sample records to check quality
✓Price quote within 1 business day

Trusted by B2B and enterprise revenue teams

How many companies use ClickHouse?

Data InfoMetrix tracks 2,001+ companies running ClickHouse as of October 2026, with 9,097+ verified contacts at those accounts. The largest groups are Cybersecurity & SIEM Telemetry, FinTech & High-Frequency Trading and AdTech & Real-Time Bidding. Buying decisions usually sit with the Head of Data Platform, VP Engineering and CTO. Counts are estimates built from technology footprint scans, job-post signals and partner directories, checked by our research team. How we count

Tracked accounts2,001+

Organizations detected running ClickHouse.

Verified contacts9,097+

Direct emails and phone dials for decision-makers.

Primary personasHead of Data Platform, VP of Infrastructure & SRE, Principal Database Architect

Full buying committee mapped.

Deliverability SLA99%

SMTP-verified, with 1:1 replacement of any email that hard bounces within 30 days.

Data specification · Updated Q4 2026

Technology category	Data Analytics & Modern Data Stack
Tracked organizations	2,001+ verified accounts worldwide
Decision-maker contacts	9,097+ records with emails, mobile and direct dials
Key roles	Head of Data Platform, VP of Infrastructure & SRE, Principal Database Architect, platform administrators, IT directors, procurement
Geography	180+ countries · country-by-country counts on request
Verification	DNS and script telemetry, 5-stage SMTP handshake, manual research
Refresh cadence	Continuous, 30–45 day maximum record age at delivery
Compliance	GDPR, CAN-SPAM, CCPA and CASL
Delivery	24–48 hours as CSV, XLSX or CRM API

Editorial & verification

Researched by the Data InfoMetrix research team. Counts updated October 2026.

How we count and verify data

Size your ClickHouse audience

Pick a region, company size and buying role to estimate how many accounts and contacts you can reach.

Region

Company size

Buying role

Estimated segment✓ 99% SLA

2,001+Target accounts

9,097+Direct contacts

Decision-makers35%

Influencers45%

End users20%

Estimates from our current ClickHouse dataset. Exact counts come with your quote.

Reach the whole buying committee

A ClickHouse account is not one contact. We map the people who evaluate, buy, run and use it across Data Platform Engineering, SRE & Observability Infrastructure Leadership.

Decision-makersC-suite & sponsors

Head of Data PlatformVP EngineeringCTODirector of Infrastructure

Influencers & adminsEvaluate & configure

Principal Database ArchitectStaff SRELead Data Systems Engineer

End usersRun it every day

Data Platform EngineersSREsBackend EngineersAnalytics Developers

These are examples. We build records for any department, seniority or custom title.

See exactly what you get

Every record carries 60+ fields, from verified email, direct dial and LinkedIn to full postal address, ClickHouse edition, coexisting stack and intent.

Contact	Buying role	Work email	Direct dial	Company phone	Fax	LinkedIn profile	Company	LinkedIn company page	Industry	Address 1	Address 2	City	State	ZIP code	Country	ClickHouse footprint	Intent	Status
SPDr. Sanjay PatelChief Data Officer (CDO)	Decision Maker	s.pa**@apexfina******.com	+1 (212) 55*-**	+1 (212) 55*-**	+1 (212) 55*-**	linkedin.com/in/s*ay-pa******	Apex Financial Intelligence Group Inc.	linkedin.com/company/apex-fin-analytics	Financial Services & Investment Research	200 Park Ave 42nd	Fl	New York	NY	10166	United States	ClickHouse Enterprise Cloud Data Warehouse & Lakehouse	High	✓ Verified 2026
TSTheresa SterlingVP of Data Engineering & Infrastructure	Decision Maker	t.ste**@novac**.io	+1 (415) 55*-**	+1 (415) 55*-**	+1 (415) 55*-**	linkedin.com/in/t*esa-st*******	Nova Cloud Communications Inc.	linkedin.com/company/nova-cloud-tech	Cloud Infrastructure & High-Volume Telemetry	350 Mission St	Ste 1800	San Francisco	CA	94105	United States	ClickHouse Real-Time Streaming Telemetry & Event Ingestion	High	✓ Verified 2026
MBMaximilian BauerDirector of Business Intelligence & Analytics	Influencer	m.ba**@bavaria****.de	+49 (89) 55*-**	+49 (89) 55*-**	+49 (89) 55*-**	linkedin.com/in/m*ilian-********	Bavaria Digital Retail Group AG	linkedin.com/company/bavaria-retail-ag	Omnichannel Retail & E-Commerce	Maximilianstraße 35	—	Munich	Bavaria	80539	Germany	ClickHouse Business Intelligence Enterprise Dashboards	Medium	✓ Verified 2026
COClara OswaldLead Analytics Engineer & Data Architect	Practitioner	c.os**@beaconhe*****.uk	+44 (20) 79*-**	+44 (20) 79*-**	+44 (20) 79*-**	linkedin.com/in/c*a-os******	Beacon Clinical Healthcare Analytics Ltd	linkedin.com/company/beacon-clinical-data	Health Analytics & Clinical Research	25 Finsbury Circus	—	London	Greater London	EC2M 7EE	United Kingdom	ClickHouse Automated Transformation & Semantic Layer	High	✓ Verified 2026
RLRobert LangdonHead of Enterprise Data Governance & Compliance	Decision Maker	r.lan**@prudenti*****.com	+1 (312) 55*-**	+1 (312) 55*-**	+1 (312) 55*-**	linkedin.com/in/r*rt-la*******	Prudential Trust & Bancorp Inc.	linkedin.com/company/prudential-trust-bancorp	Commercial Banking & Wealth Management	111 W Monroe St	Ste 2200	Chicago	IL	60603	United States	ClickHouse Data Governance, PII Masking & Lineage Tracking	Medium	✓ Verified 2026
NSNadia SolokovaDirector of Machine Learning & Applied AI Data	Influencer	n.sol**@quant***.com	+1 (617) 55*-**	+1 (617) 55*-**	+1 (617) 55*-**	linkedin.com/in/n*a-sol******	Quantum Insurance Risk Modeling LLC	linkedin.com/company/quantum-insurance-data	Property & Casualty Insurance Actuarial Data	100 Cambridge St 14th	Fl	Boston	MA	02114	United States	ClickHouse Machine Learning Feature Store & Model Training	High	✓ Verified 2026
AMAlain MercierVP of Global Enterprise Architecture	Decision Maker	a.mer**@telecom****.fr	+33 (1) 44*-**	+33 (1) 44*-**	+33 (1) 44*-**	linkedin.com/in/a*n-mer******	Telecom France Networks SA	linkedin.com/company/telecom-france-networks	Telecommunications & Cellular Data Networks	78 Rue de Vaugirard	—	Paris	Île-de-France	75006	France	ClickHouse Multi-Cloud Data Sharing & Private Clean Rooms	High	✓ Verified 2026
HOHiroshi OgawaSenior Data Platform Solutions Architect	Practitioner	h.og**@tokyodig*****.jp	+81 (3) 55*-**	+81 (3) 55*-**	+81 (3) 55*-**	linkedin.com/in/h*shi-o*******	Tokyo Digital Media Systems KK	linkedin.com/company/tokyo-digital-media	Digital Entertainment & Media Streaming Data	GranTokyo South Tower	32F	Tokyo	Tokyo	100-6632	Japan	ClickHouse High-Throughput Analytics & Low-Latency SQL	Medium	✓ Verified 2026

Illustrative rows showing 20 of 60+ fields. Full records are unmasked.

We deliver 60+ data fields per record, including intent data. The sample shows a selection only. Tell us which fields you need, including any that aren't listed here, and we'll add them to your list.

Also available:Seniority & departmentJob functionTenure in roleEmployee countAnnual revenueSIC & NAICS codesParent companyWebsite & domainProduct editionContract & renewal timingIntent topics & scoreEmail verification date

How we prove an account runs ClickHouse

No scraped résumés or stale directories. Three layers confirm a live installation before a contact reaches your list. Read our verification protocol

Pillar 1 · Telemetry

Live DNS & script signals

We inspect response headers, DNS MX and CNAME records and live JavaScript bundles to confirm a running ClickHouse instance.

DNS · CNAME · MX recordsHTTP headers · JS bundles✓ Verified against live infrastructure

Pillar 2 · Operational intent

90-day hiring signals

We track job requisitions that ask for ClickHouse skills, which shows ongoing budget and headcount.

Now hiringClickHouse Administrator

Now hiringClickHouse Architect

Now hiringClickHouse Engineer

Pillar 3 · Human & mailbox QA

Pre-delivery SMTP handshake

Each email is tested against the destination mail server, and titles are checked against current company rosters.

SMTP check ✓LinkedIn match ✓Title verified ✓

✓ Deliverable inbox and current role

Deliverability SLA

<3%

Maximum bounce rate, or we replace the contacts. Your sender reputation stays clean.

1:1 hard bounce replacement

Every email that hard-bounces within 30 days of delivery is replaced free, record for record.

24-hour pre-delivery ping

Live SMTP and MX checks right before we send your file.

Instant CRM import

Clean CSV or XLSX, ready for one-click import.

Ready for your outbound stack

Imports straight into the tools you use.

What are you trying to do?

Each campaign needs a different data strategy. Pick your goal to see how we build the audience.

Find companies on rival platforms and reach the people evaluating a move to, or away from, ClickHouse.

Conquesting playbook

Pitch integrations, add-ons and complementary tools to companies already running ClickHouse.

Ecosystem playbook

Build account lists around ClickHouse deployment scale and engage the full committee across departments.

ABM playbook

Conquesting audienceSample

Snowflake

Amazon Redshift

Elasticsearch

→

ClickHouse

Know the stack around every account

ClickHouse rarely runs alone. Every record is tagged with the tools detected alongside it, so you can segment by complementary stacks.

dbt

Open the coexistence matrix

What ClickHouse customers look like

Anonymised profiles of companies in our ClickHouse dataset of 2,001+ accounts. Named accounts are shared in your free sample, never on a public page.

ClickHouse account profiles · anonymised

Company size	Industry	Country	Employees	Revenue
Enterprise	Cybersecurity & SIEM Telemetry	United States	5,000+	$1B+
Upper mid-market	FinTech & High-Frequency Trading	Canada	1,000–4,999	$250M–$1B
SMB	AdTech & Real-Time Bidding	Germany	50–199	$10M–$50M
Enterprise	Gaming Infrastructure & Telemetry	United States	10,000+	$5B+
Mid-market	SaaS Product Analytics	Australia	500–999	$100M–$250M
Mid-market	Cybersecurity & SIEM Telemetry	United States	200–999	$50M–$250M
Enterprise	FinTech & High-Frequency Trading	United States	5,000+	$1B+
Upper mid-market	AdTech & Real-Time Bidding	United Kingdom	1,000–4,999	$250M–$1B

Markets we cover

United States

India

United Kingdom

Canada

Germany

Australia

Singapore

France

New Zealand

Netherlands

Plus 170 more countries. Ask for a country-by-country count of ClickHouse accounts and we'll include it with your free sample.

Build the list your way

Every list is assembled from source to your product tier, job function, geography and revenue band. Nothing is a fixed export.

Editions & modules

Filter by what they actually run.

+ClickHouse Cloud (Fully Managed Serverless Architecture)+ClickHouse Open-Source Enterprise Clusters+ClickHouse Keeper & Multi-Node Replication+Kafka & Vector Engine Connectors+Real-Time Telemetry & Log Ingestion Clusters

Firmographics

Match revenue, size and industry.

+Industry+$1M–$10B+ revenue+Headcount+Ownership & funding+HQ & branches

Geography

Target any territory.

+US & Canada+US states+UK, DACH, Nordics+APAC & ANZ+Metro clusters

Need multi-attribute segments? Open the Audience Builder

What ClickHouse teams are struggling with

Know the friction before you reach out, and position your product where it matters.

Friction 1

Runaway Compute Credit Consumption & Warehouse Cost Spikes in ClickHouse

ImpactEnterprise data teams face unexpected quarterly invoice surges as data volume scales.

OpportunityData warehouse cost optimization, dbt model efficiency auditing, and FinOps for data engineering.

Friction 2

Data Pipeline Failures & Stale Executive Dashboards

ImpactExecutive leadership makes key strategic decisions on broken or outdated metrics due to ETL/ELT pipeline lags.

OpportunityData observability platforms, automated data quality testing, and pipeline alert automation.

Friction 3

Siloed Data Lakes & Strict PII Data Governance Enforcement

ImpactData science & analytics teams wait weeks for secure access to anonymized production datasets.

OpportunityEnterprise data cataloging, automated PII masking, and data access governance tools.

Intent triggers we track

✓Migrating legacy data warehouses to ClickHouse cloud infrastructure

✓Implementing real-time streaming analytics and dbt transformation pipelines

✓Deploying machine learning models and generative AI workloads

✓Establishing centralized data governance and automated PII masking

“When you talk to companies who already use Snowflake and AWS about a native integration, the conversion rate skyrockets. Data InfoMetrix gave us the exact user list we needed.”

Director of Growth, a data integration companyName withheld at the client's request

Read the 6.8% Response case study

ClickHouse list questions, answered

How many companies use ClickHouse?

Data InfoMetrix tracks 2,001 companies using ClickHouse, with 9,097 verified contacts at those accounts as of October 2026. The largest groups are Cybersecurity & SIEM Telemetry, FinTech & High-Frequency Trading and AdTech & Real-Time Bidding. Counts are estimates from our database and market research, so ask us for a live count for your exact criteria.

Who buys and manages ClickHouse inside a company?

ClickHouse is usually owned by Data Platform Engineering, SRE & Observability Infrastructure Leadership. Decision-makers include Head of Data Platform, VP Engineering and CTO; Principal Database Architect and Staff SRE shape the choice, and Data Platform Engineers and SREs use it day to day. Our ClickHouse list can include any of these roles.

Which ClickHouse products or editions can I target?

You can target accounts by the ClickHouse products they run, including ClickHouse Cloud (Fully Managed Serverless Architecture), ClickHouse Open-Source Enterprise Clusters, ClickHouse Keeper & Multi-Node Replication, Kafka & Vector Engine Connectors and Real-Time Telemetry & Log Ingestion Clusters. Tell us which edition or module matters and we filter the list to those accounts.

What does ClickHouse integrate with?

ClickHouse is most often connected to Apache Kafka, Redpanda, Grafana, Kubernetes and dbt, so users of those tools overlap heavily with ClickHouse accounts. We can filter any list by this kind of stack overlap.

What are the main alternatives to ClickHouse?

The main alternatives to ClickHouse are Snowflake, Amazon Redshift, Elasticsearch and StarRocks. We also keep verified user lists for Snowflake, Elasticsearch and StarRocks, which is useful for competitive displacement campaigns.

What challenges do ClickHouse customers face?

Common challenges for ClickHouse accounts include ZooKeeper Coordination Deadlocks & Keeper Migrations, Too Many Small Parts Mutation & MergeTree Throttling and Materialized View Complexity & Schema Evolution Friction. Legacy self-hosted ClickHouse clusters relying on external ZooKeeper frequently suffer from metadata sync bottlenecks during heavy ingestion, forcing engineering teams to undertake complex migrations to ClickHouse Keeper. These are good angles for outreach to ClickHouse users.

Can Data InfoMetrix deliver a free sample ClickHouse contact list before ordering?

Yes. Data InfoMetrix delivers a complimentary 10-record sample tailored to your target ClickHouse criteria—including target job titles, company size, and region—delivered within one business day with no obligation.

How does Data InfoMetrix guarantee email deliverability for ClickHouse contacts?

Data InfoMetrix provides a 99% email deliverability guarantee on all ClickHouse datasets. Every contact record undergoes real-time email verification within a 30 to 45-day refresh cycle, backed by a 1:1 hard bounce replacement policy for 30 days after delivery.

Sourcing and compliance. Business contacts come from public company sources, professional directories and opt-in publishing partners, then go through SMTP verification and human review. Lists are for B2B outreach: include an unsubscribe link and honour opt-outs (CAN-SPAM), and have a lawful basis such as legitimate interest when you email people in the EU or UK (GDPR). Read how we source and verify data